基于多致灾因子相似的热带气旋检索方法研究:以风暴潮-海浪灾害预评估为例

热带气旋引起的风暴潮-海浪灾害成灾频率高、致灾强度大,对我国沿海地区造成的人员和经济损失惨重。预评估阶段需要在灾前对研究区可能造成的损失等进行快速的综合判定。从历史热带气旋中检索出与目标热带气旋位置及各种致灾因子强度相似的热带气旋是快速、准确地预评估风暴潮-海浪灾害的重要方法。面向风暴潮-海浪灾害预评估,提出了一种基于多致灾因子的相似热带气旋检索方法。用于相似检索的致灾因子数据包括:从中国气象局西北太平洋热带气旋最佳路径数据集中提取并经处理得到的1949~2013年影响湛江市的112场热带气旋的路径中心点位置、中心气压、最大风速、最大风速半径及移动速度数据,112场热带气旋的模拟风场、风暴潮及海浪数据。首先,利用相似离度方法对热带气旋进行路径相似性检索;其次,利用最优相似系数方法计算中心气压、最大风速半径、最大风速、移动速度、风场、风暴潮及海浪强度指标的相似系数进行一次检索;然后,根据风场、风暴潮及海浪模拟数据的获取情况,分别基于路径-强度及风场-风暴潮-海浪综合相似性指标进行二次检索;最终给出历史热带气旋的综合相似排序。以2013年尤特热带气旋为例,利用上述方法检索了与其最为相似的5场历史热带气旋。该方法综合考虑了热带气旋路径及多种致灾因子的相似,兼顾了检索的速度及质量,是进行快速、准确的风暴潮-海浪灾害预评估的重要基础。     

A hydrodynamics-based surge scale for hurricanes

Record hurricane surges over the last several years have demonstrated the need for an improved surge hazard warning scale for hurricanes. Here, a simple hydrodynamics-based surge scale for hurricane surge hazard is presented. This surge scale incorporates readily available meteorological information along with regional-scale bathymetry into a single measure of expected surge levels at the coast. We further outline an approach for estimating expected flood inundation and damages based on the alongshore extent of high surges during hurricanes. Comparisons between this new surge scale and historical hurricane observations show a measurable improvement over existing surge indices, including the Saffir-Simpson scale. It is anticipated that the proposed surge scale will improve public awareness of surge hazard and assist governments in communicating critical decisions regarding evacuation and emergency response.     

台风移行速度与登陆角度对风暴潮的影响:一个理想模型数值实验

The effects of hurricane forward speed(V) and approach angle(θ) on storm surge are important and a systematic investigation covering possible and continuous ranges of these parameters has not been done before. Here we present such a study with a numerical experiment using the Finite Volume Community Ocean Model(FVCOM).The hurricane track is simplified as a straight line, such that V and θ fully define the motion of the hurricane. The maximum surge is contributed by both free waves and a forced storm surge wave moving with the hurricane.Among the free waves, Kelvin-type waves can only propagate in the down-coast direction. Simulations show that those waves can only have a significant positive storm surge when the hurricane velocity has a down-coast component. The optimal values of V and θ that maximize the storm surge in an idealized semi-circular ocean basin are functions of the bathymetry. For a constant bathymetry, the maximum surge occurs when the hurricane approaches the coast from the normal direction when the free wave generation is minimal; for a stepped bathymetry, the maximum surge occurs at a certain acute approach angle which maximizes the duration of persistent wind forcing; a step-like bathymetry with a sloped shelf is similar to the stepped bathymetry, with the added possibility of landfall resonance when the free and forced waves are moving at about the same velocity. For other cases, the storm surge is smaller, given other parameters(hurricane size, maximum wind speed, etc.)unchanged.     

A real-time, event-triggered storm surge forecasting system for the state of North Carolina

A new real-time, event-triggered storm surge prediction system has been developed for the State of North Carolina to assist emergency managers, policy-makers and other government officials with evacuation planning, decision-making and resource deployment during tropical storm landfall and flood inundation events. The North Carolina Forecast System (NCFS) was designed and built to provide a rapid response assessment of hurricane threat, accomplished by driving a high-resolution, two-dimensional, depth-integrated version of the ADCIRC (Advanced Circulation) coastal ocean model with winds from a synthetic asymmetric gradient wind vortex. These parametric winds, calculated at exact finite-element mesh node locations and directly coupled to the ocean model at every time step, are generated from National Hurricane Center (NHC) forecast advisories the moment they are inserted into the real-time weather data stream, maximizing the number of hours of forecast utility. Tidal harmonic constituents are prescribed at the open water boundaries and applied as tidal potentials in the interior of the ocean model domain. A directional surface roughness parameterization that modulates the wind speed at a given location based on the types of land cover encountered upwind, a forest canopy sheltering effect, and a spatially varying distribution of Manning’s–n friction coefficient used for computing the bottom/channel bed friction are also included in the storm surge model. Comparisons of the simulated wind speeds and phases against their real meteorological counterparts, of model elevations against actual sea surface elevations measured by NOAA tide gauges along the NC coast, and of simulated depth-averaged current velocities against Acoustic Doppler Current Profiler (ADCP) data, indicate that this new system produces remarkably realistic predictions of winds and storm surge.     

A real-time,event-triggered storm surge forecasting system for the state of North Carolina

A new real-time, event-triggered storm surge prediction system has been developed for the State of North Carolina to assist emergency managers, policy-makers and other government officials with evacuation planning, decision-making and resource deployment during tropical storm landfall and flood inundation events. The North Carolina Forecast System (NCFS) was designed and built to provide a rapid response assessment of hurricane threat, accomplished by driving a high-resolution, two-dimensional, depth-integrated version of the ADCIRC (Advanced Circulation) coastal ocean model with winds from a synthetic asymmetric gradient wind vortex. These parametric winds, calculated at exact finite-element mesh node locations and directly coupled to the ocean model at every time step, are generated from National Hurricane Center (NHC) forecast advisories the moment they are inserted into the real-time weather data stream, maximizing the number of hours of forecast utility. Tidal harmonic constituents are prescribed at the open water boundaries and applied as tidal potentials in the interior of the ocean model domain. A directional surface roughness parameterization that modulates the wind speed at a given location based on the types of land cover encountered upwind, a forest canopy sheltering effect, and a spatially varying distribution of Manning’s–n friction coefficient used for computing the bottom/channel bed friction are also included in the storm surge model. Comparisons of the simulated wind speeds and phases against their real meteorological counterparts, of model elevations against actual sea surface elevations measured by NOAA tide gauges along the NC coast, and of simulated depth-averaged current velocities against Acoustic Doppler Current Profiler (ADCP) data, indicate that this new system produces remarkably realistic predictions of winds and storm surge.     

中国东南沿海区域台风数值模拟与危险性分析

通过网格定点法对我国东南沿海区域性台风危险性进行了分析。利用对各网格点有影响的历史台风数据,建立了各网格点的台风关键参数的最优概率模型。利用Monte-Carlo方法产生每个网格点1000年间的虚拟台风事件。采用YanMeng(YM)风场模型模拟了100个历史台风的最大风速,通过使这些最大风速与观测的最大风速误差和最小,建立了一组新的计算最大风半径Rmax和Holland气压参数B的公式,结果表明新的台风参数计算方案效果良好。利用新的参数计算方案、YM风场模型、特定地点的台风衰减模型以及合适的极值分布模型,预测了各个网格点不同重现期的极值风速,进而绘制了台风多发区域的设计风速图。最后研究了不同B模型、Rmax模型和极值分布模型对预测的极值风速的影响。可以为结构抗风设计和台风防灾减灾提供新的参考。     

2012年“苏拉”和“达维”双台风影响的近海风暴潮过程

作为影响我国沿海的主要自然灾害之一,台风风暴潮的产生和影响机制与防灾减灾息息相关。双台风引起的风暴潮因台风强度、路径等相对关系复杂多变,目前双台风相互作用下的风暴潮研究还不充分。采用参数化台风模型对2012年典型双台风"苏拉"和"达维"的风场、气压场过程进行了模拟与融合,并采用ELCIRC模型对双台风作用下的风暴潮过程进行了模拟。引入单台风单独作用的假设算例,探讨了双台风之间对增水、流场的相互影响和影响区域。研究结果表明,虽然两个台风登陆强度相当,但台风"达维"在海州湾海域引起的增水要远大于"苏拉"在台湾、福建海域引起的增水。风暴潮引起的增水及流速变化与台风在海表的风应力密切相关,较大变化幅值分布在台风行进路径的右侧。与台风单独作用时相比,台风"苏拉"与"达维"引起的风暴潮增水与流速变化在两者相互作用下均有所削弱,其中"苏拉"引起的风暴潮受到的影响更大。双台风风暴潮之间的非线性效应在不同区域的强度存在差异,在台风"苏拉"主要影响区域内非线性效应较强,其他区域则相对较弱。以上结果表明产生风暴潮较弱的台风一方对气象环境敏感性更高,风暴潮的响应更显著。     

Simulation of storm surge,wave, and coastal inundation in the Northeastern Gulf of Mexico region during Hurricane Ivan in 2004

Hurricane-induced storm surge, waves, and coastal inundation in the northeastern Gulf of Mexico region during Hurricane Ivan in 2004 are simulated using a fine grid coastal surge model CH3D (Curvilinear-grid Hydrodynamics in 3D) coupled to a coastal wave model SWAN, with open boundary conditions provided by a basin-scale surge model ADCIRC (Advanced CIRCulation) and a basin-scale wave model WW3 (WaveWatch-III). The H1wind, a reanalysis 10-m wind produced by the NOAA/AOML Hurricane Research Division (HRD), and a relatively simple analytical wind model are used, incorporating the effect of land dissipation on hurricane wind. Detailed comparison shows good agreement between the simulated and measured wind, waves, surge, and high water marks. Coastal storm surge along the coast is around 2–3 m, while peak surge on the order of 3.5 m is found near Pensacola, which is slightly to the east of the landfall location on Dauphin Island. Wind waves reach 20 m at the Mobile South station (National Data Buoy Center buoy 42040) on the shelf and 2 m inside the Pensacola/Escambia Bay. Model results show that wave-induced surge (total surge subtracted by the meteorologically-induced surge due to wind and pressure) accounts for 20–30% of the peak surge, while errors of the simulated surge and waves are generally within 10% of measured data. The extent of the simulated inundation region is increased when the effects of waves are included. Surge elevations simulated by the 3D model are generally up to 15% higher than that by the 2D model, and the effects of waves are more pronounced in the 3D results. The 3D model results inside the Pensacola/Escambia Bay show significant vertical variation in the horizontal currents. While the estuary has little impact on the surge elevation along the open coastal water, surge at the head of Escambia Bay is more than 50% higher than that at the open coast with 1.5 h delay.     

基于四种再分析资料的1988-2015年中国近海月均风速特征评估

This study investigates the long-term changes of monthly sea surface wind speeds over the China seas from 1988 to 2015. The 10-meter wind speeds products from four major global reanalysis datasets with high resolution are used: Cross-Calibrated Multi-Platform data set(CCMP), NCEP climate forecast system reanalysis data set(CFSR),ERA-interim reanalysis data set(ERA-int) and Japanese 55-year reanalysis data set(JRA55). The monthly sea surface wind speeds of four major reanalysis data sets have been investigated through comparisons with the longterm and homogeneous observation wind speeds data recorded at ten stations. The results reveal that(1) the wind speeds bias of CCMP, CFSR, ERA-int and JRA55 are 0.91 m/s, 1.22 m/s, 0.62 m/s and 0.22 m/s, respectively.The wind speeds RMSE of CCMP, CFSR, ERA-int and JRA55 are 1.38 m/s, 1.59 m/s, 1.01 m/s and 0.96 m/s,respectively;(2) JRA55 and ERA-int provides a realistic representation of monthly wind speeds, while CCMP and CFSR tend to overestimate observed wind speeds. And all the four data sets tend to underestimate observed wind speeds in Bohai Sea and Yellow Sea;(3) Comparing the annual wind speeds trends between observation and the four data sets at ten stations for 1988-1997, 1988–2007 and 1988–2015, the result show that ERA-int is superior to represent homogeneity monthly wind speeds over the China seaes.     

An application of fuzzy fault tree analysis for spread mooring systems

In this paper, a fuzzy fault tree analysis methodology for spread mooring systems is presented. The methodology combines the effects of operational failures and human errors under fuzzy environment for the spread mooring configurations. In conventional fault tree analysis (FTA), which is an established technique in hazard identification, the ambiguous and imprecise events such as human errors cannot be handled efficiently. In addition to this, the tolerances of the probability values of hazards are not taken into account. Moreover, it is difficult to have an exact estimation of the failure rates of the system components or the probability of the occurrence of undesired events due to the lack of sufficient data. To overcome these disadvantages, a fault tree analysis based on the fuzzy set theory is proposed and applied to the spread mooring system alternatives. Furthermore, sensitivity analysis is carried out based on the fuzzy weighted index (FWI) in order to measure the impact of each basic event on the top event. The results show that the fuzzy fault tree risk analysis method (FFTA) is more flexible and adaptive than conventional fault tree analysis for fault diagnosis and hazard estimation of spread mooring systems.     

Errors in scatterometer-radiometer wind measurement due to rain

An on-board microwave radiometer can correct measurement errors due to rain attenuation for a satellite-borne microwave scatterometer, thereby allowing more accurate determination of the ocean-surface wind vector. In clear weather or when area-extensive homogeneous clouds and rain are present, corrections can be made properly even if the radiometer footprint is much larger than that of the scatterometer. When frontal or cyclonic storms are present, so that the rain and cloud distributions are nonuniform across the footprints, substantial errors remain in the "corrected" scatterometer measurements (in some cases "corrections" actually increase the errors). Simple-geometry simulations are reported here for nonidentical overlapping scatterometer and radiometer footprints with large gradients of attenuation and wind speed. In addition, examples are presented for a hurricane observed by the SEASAT-1 oceanographic satellite. These simulations demonstrate the size of the errors in wind speed (and direction for the hurricane) remaining after "correction." At higher wind speeds, the error is sometimes twice as large as the actual wind speed. The worst errors occur when the scatterometer footprint overlaps two or more radiometer footprints and the attenuation in the scatterometer footprint differs greatly from those in parts of the radiometer footprints. The presence of such large errors is inherent in systems having independent scan patterns for radiometer and scatterometer and having large radiometer footprints. A true radiometer-scatterometer system, having identical coincident footprints comparable in size with typical rain cells, could overcome this problem.     

Influence of discrete step size on wind setup component of storm surge

Open coast storm surge water levels consist of wind setup due to wind shear at the water surface; a wave setup component caused by wind induced waves transferring momentum to the water column; an atmospheric pressure head component due to the atmospheric pressure deficit over the spatial extent of the storm system; a Coriolis forced setup or setdown component due to the effects of the rotation of the earth acting on the wind driven alongshore current at the coast; a possible seiche component due to resonance effects initiated by moving wind system, and, if astronomical tides are present, an astronomical tide component (although the tide is typically considered to be a forced astronomical event and not really a direct part of the external wind-driven meteorological component of storm surge). Typically the most important component of a storm surge is the wind setup component, especially on the U.S. East Coast and the Gulf of Mexico shorelines. In many approaches to storm surge modeling, a constant depth approximation is invoked over a limited step size in the computational domain. The use of a constant depth approximation has received little attention in the literature although can be very important to the resulting magnitude of the computed storm surge. The importance of discrete step size to the wind setup storm surge component is considered herein with a simple case computation of the wind setup component on a linear slope offshore profile. The present study findings show that the constant depth approximation to wind setup storm surge estimation is biased on the low side (except in extremely shallow water depths) and can provide large errors if discrete step size is not sufficiently resolved. Guidance has been provided on the error that one might encounter for various step sizes on different slopes.     

基于Copula函数的海岸增水高度与相应风速的遭遇概率分析

简要论述了Copula理论与几种常用的二维Archimedean Copula函数的性质和适用性。以粤东汕头海域妈屿历年最高增水高度与相应风速的遭遇为研究实例,在分别采用3个三参数的概率分布模式:广义极值分布(GEV)、Weibull分布(WBL)和皮尔逊Ⅲ型(P-Ⅲ)分布对两个边缘分布(年最高增水高度与相应风速)拟合优度检验基础上构建了两变量联合概率分布模型。主要结果如下:(1) 年最大增水高度与相应风速的边缘分布分别服从Weibull分布和P-Ⅲ型分布;(2) 拟合优度检验指标表明二者的最优连接函数为Archimedean Copula类的Gumbel-Hougaard Copula;(3) 重现期介于2~200 a之间的边缘分布与同频率的联合分布的重现水平相对差值大约介于6.7%~22.2%之间;(4) 特定风速设计频率条件下,随年最大增水设计频率的减小,二者的遭遇概率也随之迅速减小;反之,特定增水设计频率随风速条件频率的减小,二者的遭遇概率随之明显增大。     

Efficient joint-probability methods for hurricane surge frequency analysis

The Joint-Probability Method (JPM) was adopted by federal agencies for critical post-Katrina determinations of hurricane surge frequencies. In standard JPM implementations, it is necessary to consider a very large number of combinations of storm parameters, and each such combination (or synthetic storm) requires the simulation of wind, waves, and surge. The tools used to model the wave and surge phenomena have improved greatly in recent years, but this improvement and the use of very large high-resolution grids have made the computations both time-consuming and expensive. In order to ease the computational burden, two independent approaches have been developed to reduce the number of storm surge simulations that are required. Both of these so-called JPM-OS (JPM-Optimal Sampling) methods seek to accurately cover the entire storm parameter space through optimum selection of a small number of parameter values so as to minimize the number of required storm simulations. Tests done for the Mississippi coast showed that the accuracy of the two methods is comparable to that of a full JPM analysis, with a reduction of an order of magnitude or more in the computational effort.     

基于非定常面元法的海上浮式风机气动性能研究

对于海上浮式风机而言,由于受到剪切风、塔影效应、浮式基础运动等因素的共同影响,其气动载荷会更加复杂,因此如何准确快速地对海上风力机的气动性能进行预估显得尤为重要。基于速度势的非定常面元法理论,研究海上浮式风机气动载荷特性,编制了相关的计算程序。以NREL 5 MW风机为例,建立了叶片和尾流的三维数值模型,计算得到了不同风速下风机的输出功率以及叶片表面的压力分布,对比数据结果分析了该方法的可靠性。针对非定常流动,模拟了剪切风和塔影效应的作用,并重点分析了浮式基础运动对风机气动载荷的影响。研究表明,浮式基础的纵荡和纵摇会增加输出功率的波动幅值,艏摇运动会导致单个叶片上的气动载荷产生较大的波动,为浮式风机叶片控制提供了参考。     

Sometimes you cannot make it on your own; drivers and scenarios for regional cooperation in implementing the EU Marine Strategy Framework Directive

Implementing the EU Marine Strategy Framework Directive explicitly calls for regional cooperation between the EU Member States in the different regional seas. This regional cooperation, although set in a general framework of EU Member States and non-EU states utilising existing Regional Sea Conventions as focal point, develops along different tracks. Based on a series of interviews with different stakeholder groups in the different regional seas the drivers for this regional cooperation were determined. These drivers were used to develop a set of scenarios to depict possible ways and structures for cooperation at the different regional seas. In this paper the result of this analysis and the different scenarios developed are presented. The five scenarios developed were very helpful in elaborating alternative governance models for regional cooperation. From the validation by the stakeholders it became clear that both the drivers used, as the scenarios developed were found to be relevant. There is no single solution that is going to fit all regional seas, or that is going to appeal to all stakeholders within a regional sea. Especially in this setting the scenario approach does help people to explore the full range of possibilities that exists for the development of alternative governance models that address two issues raised but not detailed in the MSFD: cooperation and participation.     

南麂海域台风影响过程中的波浪特征

根据１９８３－１９８９年南麂海洋站在台风影响过程中的实测风和浪资料，分析了该海域的波浪特征。结果表明，这个海域的台风波浪通常是混合浪，在台风影响过程中出现的最大值波高，既有较大波陡的风浪，也有波陡较小的清浪；各向波高的均值变化不大，各向最大波高却有较大幅度的差距；本区的台风浪以４级波高占优，风浪以ＮＮＥ向、涌浪以Ｅ向为常浪向；波高为４级的风浪和涌浪，其周期分别在４．０－４．９Ｓ和７．０－７．９Ｓ之     

变化环境下中国东南沿海致灾气旋及其人口暴露度研究

本文基于气象观测站的逐日气压、风速和降水量确定致灾气旋阈值,结合区域气候模式COSMO-CLM (CCLM)输出,研究中国东南沿海地区2021—2050年RCP2.6、4.5、8.5情景下致灾气旋的时空变化特征。并采用人口-发展-环境分析模型(PDE),预测共享社会经济路径SSP2下东南沿海地区人口发展趋势,揭示了致灾气旋人口暴露度演变。研究表明:(1) RCP2.6情景,东南沿海地区平均每年发生致灾气旋6.3次,风速和降水量较基准期(1986—2005年)分别增加9%和15%,72%区域致灾气旋人口暴露度有所增加。暴露在超基准期最大影响面积和最强风速下的致灾气旋人口分别增加2.1亿和0.1亿。(2) RCP4.5情景,致灾气旋年均发生7次,风速和降水量较基准期分别上升16%和32%,89%地区致灾气旋暴露人口增加。暴露在超基准期最大影响面积和最强风速下的致灾气旋人口分别增加2.6亿和0.5亿。(3) RCP8.5情景,致灾气旋年均发生5.8次,风速和降水量较基准期分别增加32%和50%,65%区域致灾气旋暴露人口度有所增加。暴露在超基准期最大影响面积和最强风速下的致灾气旋人口分别增加5.7亿和1.9亿。(4)相比RCP2.6,RCP8.5情景致灾气旋风速和降水量高出23%和35%,暴露于超基准期最大影响面积和最强风速的致灾气旋人口分别多3.6亿和1.8亿。控制温室气体浓度对降低致灾气旋的不利影响具有重要意义。     

SWAN模型模拟风浪场侧边界失真范围研究

鉴于SWAN模型存在着不能有效地模拟固壁边界附近风浪场的缺点,即在边界附近所模拟的波要素存在失真的现象,研究了在不同水深、风速和风向情况下模型侧边界附近波要素的失真范围,并对计算结果进行了详细的分析。结果表明水深、风速和风向对于侧边界附近波要素的失真范围具有不同的影响,即在风速一定的情况下,失真范围随着水深的增大而增大;水深一定的情况下,失真范围随着风速的增大而减小、随着风向的增大而增大。在利用SWAN模型模拟计算近岸或内陆湖泊风浪场时,必须采取适当的措施以减少实际计算域侧边界附近计算结果的失真范围。